BFA_2023_DIEM_HS_R2_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 2, Burkina Faso, 2023
DIEM HS BFA R2 – 2023
| Name | Country code |
|---|---|
| Burkina Faso | BFA |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security, and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). FAO launched the Round 2, Face-to-Face (F2F) interviews survey between 7 September and 2 October 2023, to assess agricultural livelihoods and food security in Burkina Faso. Data were collected during the rainy season and reached 5528 households in 29 provinces across eight regions: Boucle du Mouhoun, Cascades, Centre-Est, Centre-Nord, Est, Hauts Bassins, Nord and Sahel. The survey estimates are representative at administrative level 2.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
The survey collected information on the following areas:
National coverage
| Name |
|---|
| Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| European Union | EU |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
Interviews were conducted Face-to-Face (F2F), focusing on regions most affected by recent shocks due to budget constraints. Out of the country's 45 provinces, 5528 households were interviewed in 29 provinces across the following eight regions: Boucle du Mouhoun, Cascades, Centre-Est, Centre-Nord, Est, Hauts Bassins, Nord and Sahel. Between 129 and 212 households were sampled in each province. The survey estimates are representative at the second administrative level.
The General Directorate of Sectoral Studies and Statistics of the Ministry of Agriculture, with support from the National Institute of Statistics and Demography, provided the sampling frame for the survey. Households were selected using a probability sampling, namely systematic sampling. Specifically, the number of households per village or census tract (often provided by the village head) was divided by the fixed cluster size of six households, and households' dwellings were selected using the interval thus determined.
A standard weighting approach is used, though the specific combination of weights depends on factors such as sub-group quotas, availability of baseline data, and appropriate context-specific wealth indicators. Specifically, weighting was limited to base weights at administrative level 2, and it was calculated to correct for disproportionate sampling by accounting for differences in population size across administrative units.
A link to the questionnaire has been provided in the downloads tab.
| Start | End |
|---|---|
| 2023-09-07 | 2023-10-02 |
The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub at the Office of Emergencies and Resilience, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.
STATISTICAL DISCLOSURE CONTROL (SDC)
The dataset was anonymized by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub and reviewed by the Statistics Division, using Statistical Disclosure methods in accordance with FAO Corporate Statistical Disclosure Control Protocol. All direct identifiers have been removed prior to data submission. For more information, see https://openknowledge.fao.org/server/api/core/bitstreams/833ee200-0484-4f87-8f5c-b3fed4a3722b/content.
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | https://data-in-emergencies.fao.org/ | [email protected] |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
FAO. 2025. Data in Emergencies Monitoring Household Survey - Burkina Faso, Round 2, 2023. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
DDI_BFA_2023_DIEM_HS_R2_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | OER | Food and Agriculture Organization of the United Nations | Metadata producer |
| Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |